The rise of generative artificial intelligence (AI), particularly large language models (LLMs), has marked a transformative ...

Aiming at the disadvantage of present data formats in data compression for multi-channel telemetry data acquisition systems, this introduces a data packet structure, and a real-time compression ...

Zstandard, or zstd as short version, is a fast lossless compression algorithm, targeting real-time compression scenarios at zlib-level and better compression ratios. It's backed by a very fast entropy ...

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Structure learning of Bayesian Networks (BNs) is an important topic in machine learning. Driven by modern applications in genetics and brain sciences, accurate and efficient learning of large-scale BN ...

As tech companies battle copyright lawsuits, Microsoft and OpenAI have increasingly looked to libraries for material to train chatbots. Harvard-based Institutional Data Initiative aims to forge ...